AI Platform Engineer

Meet the Moment with Alteryx

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.

You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

Role Overview
The AI Platform Engineer enables the enterprise AI operating model across platforms, tools, standards, governance, and solution delivery. This role owns the technical platforms that allow employees and business teams to use AI safely, consistently, and at scale. The person in this role partners closely with the AI Enablement Analyst, Help Desk, security, privacy, legal, architecture, data, and IT teams to turn AI capabilities into governed, reusable practices and support processes.
Core Competencies

• Platform engineering and solution design: Configures and supports enterprise AI platforms, LLMs, APIs, MCP, agents, connectors, RAG patterns, and automation tools.

• Governance and standards: Defines approved access patterns, reusable reference architectures, risk controls, cost management, usage tracking, and audit-ready operating practices.

• Cross-functional enablement: Works across AI enablement, Help Desk, security, privacy, legal, architecture, data, and IT teams to make AI solutions easier to adopt, govern, and support.

Key Responsibilities

• Configure and support enterprise AI platforms, including OpenAI, Anthropic, Google, and related AI tooling.

• Define approved access patterns for LLMs, APIs, MCP, agents, connectors, RAG, automation, and human-in-the-loop workflows.

• Partner with business teams to assess AI use cases, clarify outcomes, evaluate feasibility, and recommend the right solution pattern.

• Lead or co-lead lighthouse AI projects that prove reusable enterprise patterns and demonstrate measurable business value.

• Create solution blueprints for priority AI use cases, including architecture, data needs, access patterns, risk, cost, support model, and production readiness.

• Establish cost management, usage tracking, agent visibility, and oversight infrastructure.

• Define evaluation approaches for AI solutions, including quality checks, test cases, usage metrics, human review points, failure handling, and improvement loops.

• Package successful pilots into reusable reference architectures, implementation templates, and transition plans for production support.

• Partner with security, privacy, legal, architecture, data, and IT teams on governance, risk review, and standards.

• Advise business leads and citizen developers on when AI solutions can remain team-owned versus when they require enterprise ownership, controls, monitoring, and support.

• Work with the AI Enablement Analyst to convert platform capabilities into training, documentation, FAQs, playbooks, and support processes.

• Enable Help Desk readiness for setup, initial troubleshooting, common questions, and escalation paths.

Required Qualifications

• Experience in solution engineering, platform engineering, enterprise applications, cloud, integration, automation, identity, data, or related technology roles.

• Hands-on familiarity with LLM platforms, APIs, agents, RAG, workflow automation, or AI tooling.

• Understanding of enterprise security, privacy, access control, governance, and audit readiness.

• Ability to translate business use cases into secure, scalable, reusable solution patterns.

• Strong communication skills across business, technical, governance, and executive stakeholders.

• Able to operate in a fast-moving AI environment.

• Drive for clarity to deliver objectives.

• Experience with platforms such as OpenAI, Anthropic, Google, Workato, n8n, Zapier, Power Automate, Make, or similar tools.

Preferred Qualifications

• Experience establishing cost management, usage tracking, agent visibility, or AI oversight infrastructure.

• Experience creating technical standards, reference architectures, production readiness checklists, or support playbooks.

Success Measures
Success in this role will be measured by consistently evaluated and prioritized AI use cases, reusable and secure approved AI patterns, governed adoption of AI platforms and tools, measurable business value, cost, adoption, and agent activity, clear Help Desk setup and escalation guidance, and executive visibility into roadmap, risks, and outcomes.

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

Benefits & Perks:

Alteryx has amazing benefits for all Associates which can be viewed here.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.